Turnover Events, Vicarious Information, and the Reduced Likelihood of Outlet-Level Exit Among Small Multiunit Organizations
Turnover Events, Vicarious Information, and the Reduced Likelihood of Outlet-Level Exit Among Small Multiunit Organizations
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小型多单位组织中的人员流动事件、替代信息以及门店级退出的可能性降低
DOI：
10.1287/orsc.1050.0174
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
W. Mitchell
中科院分区：
文献类型：
--
作者：
A. Kalnins;A. Swaminathan;W. Mitchell
组织学习研究的一个关键问题是确定企业从其他企业的活动和绩效中获得有用信息的机会和限制。我们认为，市场层面的营业额事件产生和释放替代信息，小型多单位组织可以使用，以提高他们的生存的可能性。我们专注于两个特定的营业额事件，所有权转移和同期的退出-进入对（在同一时间段内，在同一市场内同时发生的出口进入和出口退出的情况），因为这些事件可能会产生和释放信息，而不会改变市场中的总数量。我们发现，当有许多所有权转移和退出进入对在其他市场中，业主也经营网点的多单元业主的出口出口的可能性下降。我们的结论是，这些营业额的事件，即使在一个市场中，一个小的多单元组织存在，产生替代信息大量的，足以增加所有的多单元组织的网点的生存可能性。我们的理论和支持的结果表明，如何组织学习为基础的参数可以与我们的知识相结合的多单位组织，建立一个理论的地理上分离的营业额事件之间的关系。
A key question for organizational learning research is to identify opportunities and constraints for firms to gain useful information from the activities and performance of other firms. We argue that market-level turnover events generate and release vicarious information that small multiunit organizations can use to enhance their likelihood of survival. We focus on two specific turnover events, ownership transfers and contemporaneous exit-entry pairs (cases in which both outlet entry and outlet exit occur within the same market within the same time period), because these events are likely to generate and release information without altering the total number of outlets in a market. We find that the likelihood of a multiunit owner's outlet exit declines when there are many ownership transfers and exit-entry pairs in other markets where the owner also operates outlets. We conclude that these turnover events, even in just one market where a small multiunit organization is present, generate vicarious information substantial enough to increase the survival likelihood of all outlets of that multiunit organization. Our theory and supporting results show how organizational learning-based arguments can be combined with our knowledge of multiunit organizations to build a theory of relationships between geographically separated turnover events.